Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2013, Article ID 981840, 13 pages
Research Article

Semisupervised Kernel Marginal Fisher Analysis for Face Recognition

School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China

Received 3 May 2013; Accepted 3 June 2013

Academic Editors: J. T. Fernandez-Breis and J. H. Sossa

Copyright © 2013 Ziqiang Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Jim Jing-Yan Wang, and Xin Gao, “Minimum Information Loss Based Multi-kernel Learning for Flagellar Protein Recognition in Trypanosoma Brucei,” 2014 IEEE International Conference on Data Mining Workshop, pp. 133–141, . View at Publisher · View at Google Scholar
  • U. Rajendra Acharya, Hamido Fujita, Shreya Bhat, U. Raghavendra, Anjan Gudigar, Filippo Molinari, Anushya Vijayananthan, and Kwan Hoong Ng, “Decision support system for fatty liver,disease using GIST descriptors extracted from ultrasound images,” Information Fusion, vol. 29, pp. 32–39, 2016. View at Publisher · View at Google Scholar
  • Li Jiang, and Shunsheng Guo, “Modified Kernel Marginal Fisher Analysis for Feature Extraction and Its Application to Bearing Fault Diagnosis,” Shock and Vibration, vol. 2016, pp. 1–16, 2016. View at Publisher · View at Google Scholar